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[2024-10-22 17:03:03,960] torch.distributed.run: [WARNING] |
[2024-10-22 17:03:03,960] torch.distributed.run: [WARNING] ***************************************** |
[2024-10-22 17:03:03,960] torch.distributed.run: [WARNING] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. |
[2024-10-22 17:03:03,960] torch.distributed.run: [WARNING] ***************************************** |
[2024-10-22 17:03:05,665] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect) |
[2024-10-22 17:03:05,676] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect) |
[2024-10-22 17:03:05,680] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect) |
[2024-10-22 17:03:05,686] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect) |
petrel_client is not installed. If you read data locally instead of from ceph, ignore it. |
petrel_client is not installed. If you read data locally instead of from ceph, ignore it. |
petrel_client is not installed. If you read data locally instead of from ceph, ignore it. |
petrel_client is not installed. If you read data locally instead of from ceph, ignore it. |
Replace train sampler!! |
petrel_client is not installed. Using PIL to load images. |
Replace train sampler!! |
petrel_client is not installed. Using PIL to load images. |
Replace train sampler!! |
petrel_client is not installed. Using PIL to load images. |
Replace train sampler!! |
petrel_client is not installed. Using PIL to load images. |
[2024-10-22 17:03:08,735] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented |
[2024-10-22 17:03:08,735] [INFO] [comm.py:616:init_distributed] cdb=None |
[2024-10-22 17:03:08,735] [INFO] [comm.py:643:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl |
10/22/2024 17:03:09 - WARNING - __main__ - Process rank: 0, device: cuda:0, n_gpu: 1distributed training: True, 16-bits training: False |
10/22/2024 17:03:09 - INFO - __main__ - Training/evaluation parameters TrainingArguments( |
_n_gpu=1, |
adafactor=False, |
adam_beta1=0.9, |
adam_beta2=0.999, |
adam_epsilon=1e-08, |
auto_find_batch_size=False, |
bf16=True, |
bf16_full_eval=False, |
data_seed=None, |
dataloader_drop_last=False, |
dataloader_num_workers=4, |
dataloader_persistent_workers=False, |
dataloader_pin_memory=True, |
ddp_backend=None, |
ddp_broadcast_buffers=None, |
ddp_bucket_cap_mb=None, |
ddp_find_unused_parameters=None, |
ddp_timeout=1800, |
debug=[], |
deepspeed=zero_stage1_config.json, |
disable_tqdm=False, |
dispatch_batches=None, |
do_eval=False, |
do_predict=False, |
do_train=True, |
eval_accumulation_steps=None, |
eval_delay=0, |
eval_steps=None, |
evaluation_strategy=no, |
fp16=False, |
fp16_backend=auto, |
fp16_full_eval=False, |
fp16_opt_level=O1, |
fsdp=[], |
fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_grad_ckpt': False}, |
fsdp_min_num_params=0, |
fsdp_transformer_layer_cls_to_wrap=None, |
full_determinism=False, |
gradient_accumulation_steps=1, |
gradient_checkpointing=False, |
gradient_checkpointing_kwargs=None, |
greater_is_better=None, |
group_by_length=True, |
half_precision_backend=auto, |
hub_always_push=False, |
hub_model_id=None, |
hub_private_repo=False, |
hub_strategy=every_save, |
hub_token=<HUB_TOKEN>, |
ignore_data_skip=False, |
include_inputs_for_metrics=False, |
include_num_input_tokens_seen=False, |
include_tokens_per_second=False, |
jit_mode_eval=False, |
label_names=None, |
label_smoothing_factor=0.0, |
learning_rate=4e-05, |
length_column_name=length, |
load_best_model_at_end=False, |
local_rank=0, |
log_level=passive, |
log_level_replica=warning, |
log_on_each_node=True, |
logging_dir=work_dirs/internvl_chat_v1_5/internvl_chat_v1_5_internlm2_1_8b_dynamic_res_2nd_finetune_lora/runs/Oct22_17-03-08_73F3-5xA6000-134, |
logging_first_step=False, |
logging_nan_inf_filter=True, |
logging_steps=500, |
logging_strategy=epoch, |
lr_scheduler_kwargs={}, |
lr_scheduler_type=cosine, |
max_grad_norm=1.0, |
max_steps=-1, |
metric_for_best_model=None, |
mp_parameters=, |
neftune_noise_alpha=None, |
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